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AI-Based Forecasting Models We invite applications for a PhD position focused on developing next-generation AI-based forecasting models to enhance renewable energy (RES) integration into power systems
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analog, requiring the model to integrate multimodal inputs to anticipate the onset and spatial evolution of ionospheric storms. The successful candidate will work at the intersection of deep learning and
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and generatingnarratives describing the changes in natural language. The PhD student’s main responsibilities will include: - studying the data structures of OSM and the Topo database (models
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spatial omics, genetically engineered mouse models and clinically annotated human cohorts to understand the molecular mechanisms driving rare kidney cancers. The successful candidate will benefit from state
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 2 months ago
expressions, mouthing, spatial organization, and timing. Automatic translation from sign language videos into written text therefore requires modelling complex visual and temporal information, rather than
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» Modelling tools Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 15 Sep 2026 - 00:00 (Pacific/Saipan) Country Germany Type of Contract Temporary Job Status Full-time
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(Midavaine et al., Science, 2025). Building on this foundation, the lab combines mouse genetics, single-cell and spatial transcriptomics, in vivo calcium imaging, sensory behavioral assays, and molecular
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, neurodegeneration models, spatial omics, and computational biology is desired. Salary: In compliance with NYC’s Pay Transparency Act, the annual base salary for this position is $62,500-$70,000 depending
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, UK, to work on building machine learning and AI models for perceptual quality prediction of spatial music. The post is funded by a leading industry partner. The focus will be to develop machine
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and management options) using the SWAT/SWAT+ model under conditions of limited data availability; processing and analysis of spatial and point-based datasets; literature and document review; critical